Open AccessLITHOLOGICAL INTERPRETATION ACCORDING TO WELL-LOGGING DATA FOR THE BAZHENOV FORMATION WITH USAGE OF ARTIFICIAL NEURAL NETWORKS
Author(s) -
Elena U. Temnikova,
Serafim I. Grubas,
A.A. Fedoseev
Publication year - 2021
Publication title -
interèkspo geo-sibirʹ
Language(s) - English
Resource type - Journals
ISSN - 2618-981X
DOI - 10.33764/2618-981x-2021-2-3-3-9
Subject(s) - interpretation (philosophy) , artificial neural network , geology , logging , trace (psycholinguistics) , well logging , field (mathematics) , geochemistry , mining engineering , mineralogy , geophysics , artificial intelligence , computer science , mathematics , geography , linguistics , philosophy , pure mathematics , programming language , forestry
Using artificial neural networks for lithological interpretation according to well logging data, models of the relative content of rock-forming components of the Bazhenov Formation were constructed and its main types of rocks were identified in accordance with a modern classification. Results of lithological interpretation were used for building correlation schemes, which made it possible to trace the spatial distribution of the material composition and main types of rocks of the Bazhenov Formation for the Salym field.